Low-Latency and Secure Computation Offloading Assisted by Hybrid Relay-Reflecting Intelligent Surface

TL;DR

This paper explores how hybrid relay-reflecting intelligent surfaces (HRRIS) can significantly reduce computation offloading latency in wireless systems while enhancing security, outperforming traditional RIS in efficiency.

Contribution

It introduces an innovative HRRIS-assisted approach for secure, low-latency computation offloading, with optimized solutions demonstrating substantial latency improvements.

Findings

HRRIS deployment reduces offloading latency significantly.

HRRIS outperforms conventional RIS in latency reduction.

Proposed solutions effectively optimize latency and security.

Abstract

Recently, the hybrid relay-reflecting intelligent surface (HRRIS) has been introduced as a spectral- and energy-efficient architecture to assist wireless communication systems. In the HRRIS, a single or few active relay elements are deployed along with a large number of passive reflecting elements, allowing it to not only reflect but also amplify the incident signals. In this work, we investigate the potential of the HRRIS in aiding the computation offloading in a single-user mobile edge computing system. The objective is to minimize the offloading latency while ensuring the secrecy of user data against a malicious eavesdropper. We develop efficient solutions to this latency minimization problem based on alternating optimization. Through numerical results, we show that the deployment of the HRRIS can result in a considerable reduction in latency. Furthermore, the latency reduction gain offered by the HRRIS is much more significant than that of the conventional reconfigurable intelligent surface (RIS).